@article{96f941f95a314eb2870129b673404537,
title = "CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates",
keywords = "COMPUTATIONAL PREDICTION, ISOFORM, METABOLISM, P450, REGIOSELECTIVITY, SITES, classification, cytochrome P450 enzymes, drug metabolism prediction, machine learning, substrates, Cytochrome P450 enzymes, Drug metabolism prediction, Substrates, Classification, Machine learning",
author = "Malte Holmer and \{de Bruyn Kops\}, Christina and Conrad Stork and Johannes Kirchmair",
note = "Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = aug,
day = "2",
doi = "10.3390/molecules26154678",
language = "English",
volume = "26",
journal = "Molecules (Basel, Switzerland)",
issn = "1420-3049",
publisher = "MDPI AG",
number = "15",
}